Research on Campus Indoor and Outdoor Unmanned Vehicle Navigation Technology

Abstract

In view of the technical difficulties in transporting information between different buildings for various sections on campus, this paper proposes a campus unmanned vehicle system. The system resolves the latitude and longitude of the location of the unmanned vehicle through APIs, and combines perimeter, city-wide, and rectangular range (on- screen) information based on a large amount of dynamic location (POI) data from geographic services to meet the location search needs of different scenarios. The Harris-SIFT algorithm is also applied to explore how the unmanned vehicle can work effectively in the indoor-outdoor environment of the campus. Through experimental verification, the unmanned vehicle navigation technology proposed in this paper can satisfy the unmanned vehicle's freedom to switch between indoor and outdoor environments and can perform delivery tasks accurately and stably.